Parallel Agent-as-a-Service (P-AaaS) Based Geospatial Service in the Cloud

Parallel Agent-as-a-Service (P-AaaS) Based Geospatial Service in the Cloud

To optimize the efficiency of the geospatial service in the flood response decision making system, a Parallel Agent-as-a-Service (P-AaaS) method is proposed and implemented in the cloud. The prototype system and comparisons demonstrate the advantages of our approach over existing methods. The P-AaaS...

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Bibliographic Details
Main Authors: Xicheng Tan, Song Guo, Liping Di, Meixia Deng, Fang Huang, Xinyue Ye, Ziheng Sun, Weishu Gong, Zongyao Sha, Shaoming Pan
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Remote Sensing
Subjects:
geospatial service
Open Geospatial Consortium (OGC)
remote sensing data processing
cloud computing
agent
parallel computing
Online Access:http://www.mdpi.com/2072-4292/9/4/382

Internet

http://www.mdpi.com/2072-4292/9/4/382

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